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ddunford

ElevenLabs Image Generation MCP Server

by ddunford

generate_image

Generate an image from a text prompt using ElevenLabs' image generation API. Supports multiple models and returns the file path to the downloaded image.

Instructions

Generate an image using ElevenLabs Image & Video feature. Returns the path to the downloaded image file.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
emailNoElevenLabs account email (for authentication if not logged in)
modelNoModel to use. Options: gpt-image-1.5, gpt-image-1, flux-kontext-pro, seedream-4, nano-banana, wan-2.5. Default: gpt-image-1.5
promptYesThe text prompt describing the image to generate
passwordNoElevenLabs account password (for authentication if not logged in)
savePathNoDirectory to save the image. Default: /app/assets
aspectRatioNoAspect ratio (e.g., "1:1", "16:9", "9:16")
negativePromptNoWhat to avoid in the generated image
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description must disclose behavior fully. It mentions file path return and uses ElevenLabs feature, but does not discuss authentication requirements, error handling, or potential side effects. The description is adequate but not detailed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences, no wasted words, and directly states the core purpose and output. It is well-structured and front-loaded.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 7 parameters (1 required) and no output schema, the description explains the return value (file path) and mentions the ElevenLabs feature. It could add more detail about saving behavior or default directory, but is mostly complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so baseline is 3. The description adds value by stating the tool returns a file path, and it mentions 'using ElevenLabs Image & Video feature', which gives context beyond the schema. Scores 4.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description explicitly states 'Generate an image using ElevenLabs Image & Video feature' and mentions the return value 'path to the downloaded image file'. It clearly distinguishes from sibling tools like get_session_status and list_models, which are unrelated.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for image generation but does not provide explicit guidance on when to use versus alternatives, nor does it mention prerequisites or limitations. The sibling tools are unrelated, reducing the need for differentiation, but still no exclusions are given.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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